TY  - CONF
AU  - Cordes, Jakob
AU  - Tordeux, Antoine
AU  - Schadschneider, Andreas
AU  - Rüdiger, Babara
AU  - Ugurcan, Baris
TI  - Noise-induced breakdown in linear self-driven particle systems
PB  - Universität zu Köln
M1  - FZJ-2022-04866
PY  - 2022
AB  - Self-driven particle systems can describe many self-organized phenomena. Prominentexamples are oscillation, wave, lane, or band formations, among other swarming andcoordinated movements. Collective dynamics are classically understood in the literature of active matter as motility-induced phase separation using meta-stable non-linear in-teraction models. Critical settings of the parameters separate the disorder states from non-uniform dynamics describing macroscopic patterns and structures. We show in this contribution that noise effects can initiate the spontaneous formation of waves insingle-file motions of self-driven particles. In contrast to usual modeling approaches, no non-linear interaction mechanisms or phase transitions are necessary to coordinate the dynamics. The stochastic effects initiate the self-organization in the second order in a purely linear and ergodic framework. The coupling of the noise to a discrete gradient in space yields the emergence of stop-and-go waves, which we characterize using speed and spacing auto-correlation functions. Varying the characteristics of the noise allows for obtaining rich dynamics ranging from coupled dynamics and stable homogeneous dynamics to stop-and-go patterns with deterministic oscillating features.
T2  - JMC 2022
CY  - 22 Aug 2022 - 26 Aug 2022, Lyon (France)
Y2  - 22 Aug 2022 - 26 Aug 2022
M2  - Lyon, France
LB  - PUB:(DE-HGF)24
UR  - https://juser.fz-juelich.de/record/911607
ER  -